Lightricks

LTX-2.3 Fast

Real-time variant of LTX-2.3 for rapid iteration, previews and interactive video workflows.

#40dirilis 8 Okt 2026·Proprietary·Not disclosed
textvideo64K ctx
Penyedia APIJalankan Model →Peringkat
Inteligensi
86.2 #40
AAQI 86.0
Kecepatan output
60 t/s
ITL 16.7 ms/tok
Harga gabungan (3:1)
$0.05 /1M
Input $0.05/M · Output $0.05/M
Konteks
64K
≈ 160 halaman A4 · output maks 2,048

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

LTX-2.3 Fast
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (30)Agentic & Tool Use (20)Knowledge (MMLU) (45)Vision / Multimodal (93)

Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.

Kelebihan & Trade-off

Di mana ia menang

  • ~3× faster than the Pro tier
  • Cheapest per-clip price in the LTX line
  • Drop-in compatibility with Pro prompts

Hal yang perlu diperhatikan

  • 1080p ceiling — no 4K or native audio
  • Noticeable detail loss on complex motion
  • Short clip lengths only

Kasus Penggunaan Killer

Interactive previz
Live prompt iteration for directors and editors.
Social content at scale
Bulk short clips where turnaround beats fidelity.
Pro-tier drafting
Storyboard in Fast, re-render finals on Pro.

Quickstart Developer & API

Atur OPENROUTER_API_KEY dulu — dapatkan kunci API
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "lightricks/ltx-2-3-fast",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

OpenRouter-compatible endpoint — one API for 300+ models.

Sumber Daya & Tautan Resmi

Deployment API

Bandingkan host & latensi

Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Lihat matriks penyedia →

Skor per sumber

Spesifikasi Live & Arsitektur

Di balik kap
LTX-2.3 Fast — distilled video model
  • Distilled sampler — draft clips in seconds, not minutes
  • Same conditioning interface as the Pro tier
  • Optimized for preview-then-upscale workflows
  • Lower per-clip cost for high-volume iteration
Tanggal rilis
8 Okt 2026
Arsitektur
LTX-2.3 Fast — distilled video model
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
64,000 tokens
Output maks
2,048 tokens
Modalitas
text + video
Harga cache
baca $0.01 · tulis $0.05 /1M
Penalaran
—
Harga input
$0.05/M
Harga output
$0.05/M
Kecepatan output
60 t/s
Waktu ke token pertama
—
Data diperbarui
22 Okt 2026

Estimasi tagihan bulanan

Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub
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BibTeX
@misc{llmpodium2026ltx23fast,
  title = {Benchmark Analysis and Intelligence Evaluation of LTX-2.3 Fast},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/ltx-2-3-fast}
}

Sematkan Lencana Skor

Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.

Pratinjau
LTX-2.3 Fast LLMPodium Score
Markdown
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